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David Gfeller

Showing results (41-50 of 88) with videos related to

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Nature Communications|January 29, 2024
Semi-supervised integration of single-cell transcriptomics dataMassimo Andreatta, Léonard Hérault, Paul Gueguen, et al.
Nature Communications|April 13, 2024
Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cellsGiancarlo Croce, Sara Bobisse, Dana Léa Moreno, et al.
Journal of Molecular Biology|August 27, 2014
A structural portrait of the PDZ domain familyAndreas Ernst, Brent A Appleton, Ylva Ivarsson, et al.
Molecular Biosystems|August 18, 2010
Coevolution of PDZ domain-ligand interactions analyzed by high-throughput phage display and deep sequencingAndreas Ernst, David Gfeller, Zhengyan Kan, et al.
Virology|April 23, 2013
Susceptibility and adaptation to human TRIM5α alleles at positive selected sites in HIV-1 capsidNadia Rahm, David Gfeller, Joke Snoeck, et al.
Nucleic Acids Research|January 3, 2012
MUSI: an integrated system for identifying multiple specificity from very large peptide or nucleic acid data setsTaehyung Kim, Marc S Tyndel, Haiming Huang, et al.
BMC Bioinformatics|August 13, 2022
Metacells untangle large and complex single-cell transcriptome networksMariia Bilous, Loc Tran, Chiara Cianciaruso, et al.
Genome Research|January 15, 2017
Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell typesSantiago J Carmona, Sarah A Teichmann, Lauren Ferreira, et al.
Journal of Immunology (Baltimore, Md. : 1950)|November 16, 2018
The Length Distribution and Multiple Specificity of Naturally Presented HLA-I LigandsDavid Gfeller, Philippe Guillaume, Justine Michaux, et al.
Molecular & Cellular Proteomics : MCP|December 19, 2019
Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I LigandsMarthe Solleder, Philippe Guillaume, Julien Racle, et al.
Pageof 9

Showing results (41-50 of 88) with videos related to

Sort By:
Pageof 9
Nature Communications|January 29, 2024
Semi-supervised integration of single-cell transcriptomics dataMassimo Andreatta, Léonard Hérault, Paul Gueguen, et al.
Nature Communications|April 13, 2024
Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cellsGiancarlo Croce, Sara Bobisse, Dana Léa Moreno, et al.
Journal of Molecular Biology|August 27, 2014
A structural portrait of the PDZ domain familyAndreas Ernst, Brent A Appleton, Ylva Ivarsson, et al.
Molecular Biosystems|August 18, 2010
Coevolution of PDZ domain-ligand interactions analyzed by high-throughput phage display and deep sequencingAndreas Ernst, David Gfeller, Zhengyan Kan, et al.
Virology|April 23, 2013
Susceptibility and adaptation to human TRIM5α alleles at positive selected sites in HIV-1 capsidNadia Rahm, David Gfeller, Joke Snoeck, et al.
Nucleic Acids Research|January 3, 2012
MUSI: an integrated system for identifying multiple specificity from very large peptide or nucleic acid data setsTaehyung Kim, Marc S Tyndel, Haiming Huang, et al.
BMC Bioinformatics|August 13, 2022
Metacells untangle large and complex single-cell transcriptome networksMariia Bilous, Loc Tran, Chiara Cianciaruso, et al.
Genome Research|January 15, 2017
Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell typesSantiago J Carmona, Sarah A Teichmann, Lauren Ferreira, et al.
Journal of Immunology (Baltimore, Md. : 1950)|November 16, 2018
The Length Distribution and Multiple Specificity of Naturally Presented HLA-I LigandsDavid Gfeller, Philippe Guillaume, Justine Michaux, et al.
Molecular & Cellular Proteomics : MCP|December 19, 2019
Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I LigandsMarthe Solleder, Philippe Guillaume, Julien Racle, et al.
Pageof 9